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Real VS pretentious data scientists

Troy Sadkowsky - Wednesday, March 01, 2017

As the number of Data Scientist positions are increasing, companies are slowly finding that not everyone who claims to be a data scientists is a data scientist.
In this article "
Hirer beware: The data scientist pool is swimming with pretenders" talks about the difficulty of finding data scientists that can do the work they need to do.

According to them, ‘Weeding out the fakes’, is hard. “It is often difficult for an employer to identify how good they say they really are,” he wrote. This
sentiment was supported by the IAPA survey findings that found that employers were frequently unable to independently verify a candidate’s professed
skills in the field.

“In terms of supply, it is quite difficult to find the right person for the job,” says Konstantopoulos. “There is no formal certification, no data
science guild, so anyone can assume that title. As far as employers and recruiters are concerned this increases the noise in the talent pool rather
than increasing availability, so there is a bit of a shortage of people whose skills live up to the title.”

However, at datascientists.org we think the problem is about expectations. Potential employers might have a different expectations or idea of
what a data science is. They might also be looking for data engineers instead of data scientists. So if you ever face such problem, talk to us
and we can help you apply the right jobs.

Real VS pretentious data scientists

Troy Sadkowsky - Wednesday, March 01, 2017

As the number of Data Scientist positions are increasing, companies are slowly finding that not everyone who claims to be a data scientists is a data scientist.
In this article "
Hirer beware: The data scientist pool is swimming with pretenders" talks about the difficulty of finding data scientists that can do the work they need to do.

According to them, ‘Weeding out the fakes’, is hard. “It is often difficult for an employer to identify how good they say they really are,” he wrote. This
sentiment was supported by the IAPA survey findings that found that employers were frequently unable to independently verify a candidate’s professed
skills in the field.

“In terms of supply, it is quite difficult to find the right person for the job,” says Konstantopoulos. “There is no formal certification, no data
science guild, so anyone can assume that title. As far as employers and recruiters are concerned this increases the noise in the talent pool rather
than increasing availability, so there is a bit of a shortage of people whose skills live up to the title.”

However, at datascientists.org we think the problem is about expectations. Potential employers might have a different expectations or idea of
what a data science is. They might also be looking for data engineers instead of data scientists. So if you ever face such problem, talk to us
and we can help you apply the right jobs.